LifeCLEF Plant Identification Task 2015
This work addresses the challenge of automated plant identification for biodiversity monitoring, but it is incremental as it focuses on benchmarking existing methods rather than introducing new ones.
The paper tackled the problem of large-scale plant identification by evaluating methods on a dataset of over 100,000 images covering 1,000 plant species from West Europe, aiming to simulate real-world biodiversity monitoring conditions.
The LifeCLEF plant identification challenge aims at evaluating plant identification methods and systems at a very large scale, close to the conditions of a real-world biodiversity monitoring scenario. The 2015 evaluation was actually conducted on a set of more than 100K images illustrating 1000 plant species living in West Europe. The main originality of this dataset is that it was built through a large-scale participatory sensing plateform initiated in 2011 and which now involves tens of thousands of contributors. This overview presents more precisely the resources and assessments of the challenge, summarizes the approaches and systems employed by the participating research groups, and provides an analysis of the main outcomes.